Senior Python/Data Developer

Description

Job Summary: We are seeking a professional or technologist to design and implement complex data solutions, optimize ETL processes, and work with technologies such as Python and PySpark. Key Highlights: 1. Design, develop, and implement high-complexity data solutions. 2. Collaborate with multidisciplinary teams on innovative solutions. 3. Collaborative work environment and professional development. **Job Description** ------------------- **Senior Python / Data Developer** ================================== **Profile** ---------- * Professional or Technologist in Systems Engineering or related fields. * Minimum 5 years of experience in software and data solution development, participating in medium- and large-scale projects. * Experience in designing, building, and optimizing enterprise data integration and transformation (ETL) processes. * Ability to develop solutions for processing large volumes of information while ensuring performance, scalability, and maintainability. * Experience in requirements analysis and designing business-aligned solutions. * Remote work mode. **Technical Knowledge** --------------------- * Development of data applications and processes using **Python and PySpark**. * Design, building, and optimization of **ETL** processes. * Handling large volumes of data and distributed processing. * Experience with **SQL** and data modeling. * Databases: **Oracle, PostgreSQL, SQL Server, and/or MySQL**. * Version control and code management using **Git**. * Experience with data ecosystems on **HDFS** and SaaS environments. * Knowledge of orchestration tools such as **Apache Airflow** (desirable). * Best practices in development, continuous integration, and repository management. **Key Responsibilities** ---------------------- * Design, develop, and implement data solutions for highly complex and mission-critical projects. * Build and optimize ETL processes focused on efficient processing of large volumes of information. * Develop components and applications using Python and PySpark, adhering to quality and performance standards. * Design technical solutions based on functional and business requirements analysis. * Optimize data loading, transformation, and querying processes to improve performance and scalability. * Participate in evolutionary and corrective maintenance activities for data applications and platforms. * Manage source code and deployments using Git and continuous integration tools. * Document developments, processes, and technical configurations. * Collaborate with multidisciplinary teams to ensure successful delivery of solutions. **Your Career at Capgemini** --------------------------- * Working in a team environment, our consultants focus on analyzing, designing, and developing technology-based solutions for Capgemini clients. * You will collaborate with functional, technical, and business specialists to develop innovative data and analytics solutions. * You will contribute responsibly and promptly to client satisfaction by delivering services and products that generate added value. * Capgemini offers competitive compensation and benefits exceeding statutory requirements. * Our global headquarters are in Paris, France, and we operate in over 40 countries. * Capgemini has developed proprietary global methodologies: Collaborative Business Experience and Rightshore. **Why You’ll Love Working at Capgemini:** ---------------------------------------- * We offer a unique recruitment and onboarding experience and support you in building the foundation of your career and professional skills. * We provide a collaborative work environment grounded in our seven core values: Honesty, Boldness, Trust, Freedom, Team Spirit, Humility, and Fun.